{"query_echo":{"q":"","filters":{"analysis_type":["data collation"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'data collation' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=data+collation","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"wwf-000480","url":"https://climateinsightsdirectory.org/document/wwf-000480","title":"Measuring and Mitigating GHGs: Soy","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"research paper","language":"en","date_published":"2022-09-19","source_url":"https://www.worldwildlife.org/documents/212/4a8ktqu76j_soy_final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the GHG footprints of soy production, emphasizing that land-use change (LUC) is the primary driver of emissions. It details emissions from farm-gate activities, processing, and transport, while comparing production systems and regional impacts, particularly in South America. Mitigation priorities focus on preventing deforestation and improving tillage and fertilizer practices.","ai_generated":true,"unit":"wwf-000480#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Land-use change (LUC) is the dominant contributor to the GHG footprint of soy, with global averages from deforestation alone estimated between 1.2 and 1.6 kgCO2e/kg SB.","ai_generated":true,"unit":"wwf-000480#insight-1","date_modified":"2026-10-23"},{"text":"GHG emissions from soy vary significantly by region due to deforestation and habitat conversion; for example, farm-gate emissions in Brazil and Argentina are 2.9 and 2.4 kgCO2e/kg SB respectively, but drop to 0.47 and 0.41 kgCO2e/kg SB when LUC is excluded.","ai_generated":true,"unit":"wwf-000480#insight-2","date_modified":"2026-10-23"},{"text":"On-farm emissions excluding LUC typically range from 0.7 to 0.8 kgCO2e/kg SB, with primary sources being fertilizer production, soil emissions (N2O and CO2), and diesel use for machinery.","ai_generated":true,"unit":"wwf-000480#insight-3","date_modified":"2026-10-23"},{"text":"Tillage practices significantly influence emissions; conventional tillage has average farm-gate emissions of 0.9 kgCO2e/kg SB (excluding LUC), while no-till systems average 0.6 kgCO2e/kg SB and reduced tillage averages about 0.2 kgCO2e/kg SB.","ai_generated":true,"unit":"wwf-000480#insight-4","date_modified":"2026-10-23"},{"text":"Post-farm emissions include crushing and transport, with ground transportation in Brazil averaging 0.19 kgCO2e/kg SB due to heavy reliance on road transport over an average distance of 1,456 kilometers.","ai_generated":true,"unit":"wwf-000480#insight-5","date_modified":"2026-10-23"},{"text":"The most critical mitigation priority is preventing deforestation and other habitat conversion, as these are the largest sources of emissions. Other potential interventions include intercropping, reducing tillage, and precision agriculture.","ai_generated":true,"unit":"wwf-000480#insight-6","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","land-use change","deforestation","precision agriculture","life cycle assessment","biodiesel"],"geography_discussed":["Brazil","Argentina","United States","People's Republic of China","India","Canada","Ukraine","European Union"],"frame_perspective":[],"analysis_type":["meta-analysis","data collation"]},{"id":"prio-001432","url":"https://climateinsightsdirectory.org/document/prio-001432","title":"Great Power Competition and China’s Security Assistance to Africa: Arms, Training, and Influence","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://cdn.cloud.prio.org/files/84a5dfd3-63d2-4d2f-8590-0d598c886428/Great Power Competition and Chinas Security Assistance to Africa Arms Training and Influence.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The research concludes that China's security force assistance (SFA) in Africa is consistent with a strategy of economic alignment rather than a military alignment strategy aimed at supplanting the US. While China has expanded its SFA to almost every African state since 2015, the assistance is described as being \"spread widely but thin,\" focusing on non-lethal equipment and training to protect economic interests and foster long-term relationships. In contrast, the US remains the dominant SFA provider in financial terms, with annual provision worth hundreds of millions of dollars compared to China's estimated tens of millions. The authors argue that this approach creates a viable alternative for authoritarian African governments who may otherwise face human rights-based restrictions from Western donors.","ai_generated":true,"unit":"prio-001432#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"China's SFA strategy in Africa is focused on economic alignment—protecting economic interests and deepening relationships—rather than a military alignment strategy to create a pro-China bloc or supplant the US as the dominant security provider.","ai_generated":true,"unit":"prio-001432#insight-1","date_modified":"2026-10-23"},{"text":"China has provided SFA to nearly every African state since 2000, with 47 states and two organizations (AMISOM and the ECOWAS Standby Force) identified as recipients, and four others as likely recipients.","ai_generated":true,"unit":"prio-001432#insight-2","date_modified":"2026-10-23"},{"text":"The nature of Chinese SFA emphasizes training and non-lethal equipment over major weapons systems, likely to avoid undercutting its own commercial arms exports.","ai_generated":true,"unit":"prio-001432#insight-3","date_modified":"2026-10-23"},{"text":"There was a significant increase in China's SFA commitments after 2015, following a pledge of USD 100 million to the African Union over five years and subsequent FOCAC action plans.","ai_generated":true,"unit":"prio-001432#insight-4","date_modified":"2026-10-23"},{"text":"In financial terms, China remains a 'second division' provider compared to the US; while China spends tens of millions annually, US annual provision to Africa (excluding Egypt) is worth hundreds of millions.","ai_generated":true,"unit":"prio-001432#insight-5","date_modified":"2026-10-23"},{"text":"China's SFA is often targeted at states with high economic importance or long-standing ties, such as Angola, Zimbabwe, and Nigeria, while militarily powerful states like Egypt, Ethiopia, and South Africa have received little to no identified SFA.","ai_generated":true,"unit":"prio-001432#insight-6","date_modified":"2026-10-23"},{"text":"China's willingness to provide SFA without the human rights conditions often required by the US and EU provides authoritarian African governments with a viable alternative to Western assistance.","ai_generated":true,"unit":"prio-001432#insight-7","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["People's Republic of China","United States","Djibouti","Mali","Zimbabwe","Angola","Liberia","Kenya","Nigeria"],"frame_perspective":[],"analysis_type":["comparative analysis","policy assessment","data collation"]}]}